A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
Effective feature extraction and classification methods are of great importance for motor imagery (MI)-based brain-computer interface (BCI) systems. The common spatial pattern (CSP) algorithm is a widely used feature extraction method for MI-based BCIs. In this work, we propose a novel spatial-frequ...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 9; pp. 1589 - 1604 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |